Effects of Integrative Core Stability Training on Balance and Walking Speed in Healthy Elderly People
Bibliographic record
Abstract
The study aims to describe the effects an integrative core stability training on balance and walking speed in healthy elderly people over 65 years old: an adapted training program based on core stability exercises was introduced in the warm up phase. The study was conducted with active adults (n = 84, 38 males, 46 females) randomly divided into 2 groups: adapted core stability group (CSG, n = 40) with age, weight and height (mean ± ds) respectively of 68.2 ± 2.1 years, 69.87 ± 3.2 kg, 166.6 ± 4.8 cm; recreational group (RG, n = 44) with age, weight and height respectively of 68.9 ± 2.2 years, 68.7 ± 3.7 kg, 167 ± 2.8 cm. The sample performed for 10 weeks (3 sessions a week) the two different activities; before and after the training period (T0 and T1), the strength of the core district, static balance ability, dynamic balance and walking speed were evaluated. The results revealed a change in test scores across the two time periods (pre-intervention, post-intervention) for CSG in the McGill sit-up test (p < 0.01), in the trunk extension (p < 0.01), in the right side plank test (p < 0.01), in the left side plank (p < 0.01), in the left leg stance (p < 0.01) and right (p < 0.01), in the 8-foot-up-and-go (p < 0.01), in the 3-m backwards walk test (p < 0.01), in the tandem walk test (p < 0001), in the single-leg stance test left limb (p < 0.001) and right limb (p < 0.01). In the RG the only statistically significant difference observed between T0 and T1 was found in the 8-foot-up-and-go test (p < 0.05). The comparison between CSG and RG showed significant differences in all T1 tests in the CSG. The introduction of core stability exercises adapted to the over 65 population seems capable of determining advantageous transfers in some motor abilities. The choice of introducing these very static exercises in the warm-up phase allows people over 65 to progressively approach specific motor tasks who do not have particular motivations for controlled and systematic physical exercise.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".